Title :
Fast face detection using hash table of large set of templates
Author :
Shaick, Ben-Zion ; Yaroslavsky, Leonid
Author_Institution :
Fac. of Eng., Tel Aviv Univ., Israel
Abstract :
The problem of detecting human faces in complex images using large set of templates is investigated in this paper. For the recognition, templates are adaptively picked up for matching using a special hash table that allows to substantially speed-up the template search. Principles for implementing the hash table are outlined and experimental results of face detection are provided.
Keywords :
edge detection; face recognition; feature extraction; image matching; object detection; search problems; hash table; human face detection; image recognition; template search; Detection algorithms; Face detection; Feature extraction; Histograms; Humans; Image converters; Lighting; Pattern recognition; Search engines; Signal processing algorithms;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296361
